Rahul Rade
Lead Machine Learning Engineer at Ethon
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolRahul Rade is a Lead Machine Learning Engineer based in Zurich with nine years of experience building robust, production-ready ML systems and a current MSc at ETH Zürich focused on reliable deep learning. He has deep expertise in adversarial robustness and domain-shift resilience for vision and language models, and has applied those skills across roles from research on GAN-based deepfakes and sequence models at VJTI to product-driven ML engineering at EthonAI. Rahul bridges research and product: he’s taken ideas from understanding BERT and RNN-based threat prediction into deployable solutions and now combines ownership responsibilities with hands-on model development. Comfortable across PyTorch, TensorFlow, JAX and large-scale data stacks, he’s as likely to prototype new robustness tests as to shepherd features into production. An engaged researcher-practitioner, he treats adversarial robustness not only as a defense but as a lens to probe how deep models learn.
9 years of coding experience
6 years of employment as a software developer
Higher Secondary Certificate - HSC Science, Higher Secondary Certificate - HSC Science at Wamanrao Muranjan Junior College of Science and CommerceMaster of Science - MSc Information Technology and Electrical Engineering, Master of Science - MSc Information Technology and Electrical Engineering at ETH ZürichBachelor of Technology - BTech Electronics Engineering, Bachelor of Technology - BTech Electronics Engineering at Veermata Jijabai Technological Institute (VJTI)
Marathi, Hindi, English, German
Github Skills (27)
siemens10
svm-classifier10
autoencoder10
time-series-forecasting10
lstm9
adversarial-machine-learning8
lightgbm8
robustness8
standardized8
xgboost8
pelias8
benchmark7
deep-learning7
automation6
incremental-learning6
Programming languages (4)
Github contributions (5)
imrahulr/I3Website
Sep 2017 - Jul 2019
Contributions:9 commits, 8 pushes, 1 branch in 1 year 10 months
imrahulr/Toxic-Comment-Classification-Kaggle
Mar 2018 - Jul 2019
Contributions:74 commits, 68 pushes, 1 branch in 1 year 4 months
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